Robotic

Driving, Health, Culture: How AI Can Learn Through Observation

• Unlike traditional systems, inverse reinforcement learning (IRL) enables AI to deduce our values and priorities by directly analyzing our behavior.
• From autonomous driving to social robotics, this method helps machines master cultural nuances and complex gestures.
• Promising more human-like interaction, this approach remains costly in terms of computing power and requires highly accurate data to anticipate our true intentions.
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Social robots to support caregivers: a self-to-self fix for a collective problem?

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Let’s Talk Tech innovation news: AI, cybersecurity, networks, digital transformation

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Various electronic devices, such as phones and tablets, along with internal components, are arranged in bins.

Electronic waste: innovation to kickstart the circular economy

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An operator is inside a modern tractor, surrounded by control screens displaying agricultural data.

Agricultural robots and their growing potential for farmers

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Machine learning for intuitive robots that are aware of their environment

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Researchers have developed a kirigami-inspired mechanical computer with no electronic components.

IoT and soft robotics: is mechanical computing making a comeback?

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